Research leader work from home jobs - 317 jobs

A leading international financial services provider is seeking an Underwriting Director in Boston, Massachusetts, to enhance underwriting strategies. The ideal candidate will have advanced underwriting knowledge, strong project management skills, and the ability to communicate technical concepts effectively. Responsibilities include overseeing research for new underwriting techniques, collaborating on innovative solutions, and ensuring continuous improvement of practices. This position supports a flexible remote work environment and offers a competitive salary range of $120,750 to $217,350 USD. #J-18808-Ljbffr

A leading consulting firm is seeking a Consulting Manager specializing in Education & Research for Academic Medical Centers. This role involves project management, team leadership, and a focus on improving client outcomes. The ideal candidate will have extensive experience with academic medical centers, a relevant bachelor's degree, and strong analytical and communication skills. This position requires a willingness to travel and offers a range of valuable benefits, fostering a supportive and inclusive environment. #J-18808-Ljbffr

The American Osteopathic Association (AOA) has two 100% remote 10-week summer research internship positions opening up. The internships are an opportunity to gain hands-on experience by assisting in research projects, engaging in literature reviews, data collection, data analysis, reporting, and potentially contributing to conference presentations and/or publications. The Intern Research Associate program at the AOA is for those currently enrolled in a Master's or PhD program in fields such as psychometrics, measurement, statistics, l/O psychology, or data science. This fully remote 10-week internship beginning June 2026 involves working closely with experienced psychometricians and assessment experts. Interns will gain hands-on experience with AOA data and research projects that support the organization's mission of advancing the distinctive philosophy and practice of osteopathic medicine. The Certifying Board Services (CBS) department serves 73 certification and certificate programs across 15 specialty certifying boards. Interns will work and collaborate with the psychometric and assessment teams of the CBS department to support the AOA's research agenda. The role provides an opportunity to support operational and research initiatives and offers practical experience in certification testing. Research topics may include exam design and development, administration and supportive validity studies for our certification and osteopathic continuing certification exams. Responsibilities Interns will work closely with the psychometric and assessment teams to develop a research plan for the internship. Over the 10 weeks, interns will attend weekly meetings with their supervisor to discuss progress and address questions, and with one or more research project teams to discuss ongoing work. Activities may include conducting and writing literature reviews, data gathering/cleaning, programming in R or Python, item and exam analyses with CTT and IRT, performing statistical analyses such as DIF or regression analysis, writing reports, and delivering presentations. At the conclusion of the internship, all files and equipment will be returned to the AOA. Current topics of interest to the AOA's Certifying Board Services: Application of AI in test assembly, content development, measurement and assessment fields Detecting compromised exam content Longitudinal assessment Detecting bias in exam content Qualifications Candidates must be actively pursuing a Master's or PhD degree in Educational Measurement, Statistics, I/O Psychology, or a related field and have completed a minimum of 75% of required coursework towards their Master's or 50% of required coursework towards their Ph.D. Recommendation of advisor, department chair, or other academic recommendation from current program of study Familiarity with Item Response Theory (IRT), Rasch modeling, Classical Test Theory, DIF analysis, and psychometric principles Intermediate programming skills in R and/or Python Strong research and analytical skills with attention to detail Interest in educational measurement, certification testing, LLMs, or data forensics Collaborative team player We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. American Osteopathic Association is unable to sponsor work visas at this time.

A clinical research technology firm is seeking a Research Analyst who can work remotely. This role requires an MBA and excellent English communication skills. Responsibilities include interacting with clients to create regulatory documentation, managing research data, and responding to document requests. Candidates should be detail-oriented and prepared to learn new technologies, with the ability to overlap work hours with US time zones. The position offers a chance to contribute to innovative clinical trial solutions. #J-18808-Ljbffr

Geomagical Labs is a 3D R&D Lab, in partnership with IKEA. We create magical mixed-reality experiences for hundreds of millions of users, using computer vision, neural networks, graphics, and computational photography. Last year we launched IKEA Kreativ, and we're excited for what's next! We have an opening in our lab for a senior computer vision researcher, with 3D Reconstruction and Deep Learning expertise, to develop and improve the underlying algorithms powering our consumer products. We are looking for highly-motivated, creative, applied researchers with entrepreneurial drive, that are excited about building novel technologies and shipping them all the way to the hands of millions of customers! Requirements Ph.D. and 3+ years of experience, or Master's and 6+ years of experience, focused on 3D Computer Vision and Deep Learning. Experience building Deep Learning models for 3D Vision tasks, like Depth Estimation, Room Layout Estimation, Inverse Rendering, Pose Estimation or 3D Scene Understanding. Familiarity with modern methods for Novel View synthesis, like NeRFs/Gaussian Splats and Diffusion models. Familiarity with classical methods for 3D Reconstruction: SfM/SLAM, Multi-view Stereo, RGB-D Fusion. Expertise in ML frameworks and libraries, e.g. PyTorch. Highly productive in Python. Ability to architect and implement complex systems at the micro and macro level. Experience in developing technologies that got integrated into products, as well as post-launch performance tracking and shipping improvements. Entrepreneurial: Adventurous, self-driven, comfortable under uncertainty, with a desire to make systems work end-to-end. Innovative: with a track record of patents and/or first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, ISMAR, NeurIPS etc. [Bonus] Familiarity with Computer Graphics and Computational Photography. [Bonus] Comfortable with C++. Benefits Join a mission-driven R&D lab, strategically backed by an influential global brand. Work in a dynamic team of computer vision, AI, computational photography, AR, graphics, and design professionals, and successful serial entrepreneurs. Opportunity to publish novel and relevant research. Fully remote work available to people living in the USA or Canada. Headquartered in downtown Palo Alto, California --- an easy walk from restaurants, coffee shops and Caltrain commuter rail. The USA base salary for this full-time position ranges from $180,000 to $250,000 determined by location, role, skill, and experience level. Geomagical Labs offers a comprehensive set of benefits, and for qualifying roles, substantial incentive grants, vesting annually.

BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both HFT and MFT approaches. We've got a team of 200+ professionals, with a strong emphasis on technology. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. Job Description Role mission: lead the quantitative research function responsible for systematic alpha discovery, model integration, and strategy development (for example: cross-border and statistical arbitrage), ensuring smooth delivery of high-quality research into the live trading pipeline. Responsibilities Research & Strategy Drive alpha ideation, experiment design, backtesting, and strategy construction. Evaluate signals, model outputs, and features for robustness and generalization. Oversee delivery of strategies to production, and build live and post-trade testing tools to refine strategies. Cross-Functional Collaboration Integrate new engineered features into research workflows. Partner with Modeling to leverage and test ML models within strategies. Work with Data Engineering to maintain high-quality, research-ready data. Coordinate with trading teams to transition strategies to production. Process & Infrastructure Maintain research standards: reproducibility, documentation, experiment tracking. Guide best practices for backtesting, simulation, and performance diagnostics. Team Leadership Manage and mentor quantitative researchers. Hire and train new and junior quants in research methods and market microstructure. Qualifications 7+ years in quantitative research or ML-driven trading. Strong background in statistics, ML, applied math, or related fields. Expertise in Python and systematic research tooling. Deep knowledge of market microstructure and feature/alpha construction. Demonstrated ability to lead research teams and ship production strategies. Additional Information All your information will be kept confidential according to EEO guidelines.

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry's most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean's agentic capabilities - AI agents that automate real work across teams by accessing the industry's broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you're excited to shape how the world works, you'll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company. About the Role: Glean is seeking a Work AI Research Lead to drive applied research that helps Glean and its customers understand how AI is being used at work, how that use is evolving, and what it means for productivity, decision-making, and organizational design. This role sits at the intersection of data science, behavioral research, and executive storytelling. You will analyze large-scale telemetry, survey data, and experimental results to generate insights that inform customer conversations, shape product strategy, and power external thought leadership, including through Glean's new Work AI Institute. You will work closely with cross-functional partners across Product, Engineering, Marketing, Sales, and with external research collaborators and Work AI Institute founding members. You will: Analyze large-scale, aggregated telemetry data to understand how AI usage patterns are evolving across roles, teams, and organizations Design and analyze surveys to capture attitudes, behaviors, and outcomes related to AI adoption and work transformation Analyze experiments, pilots, and joint research initiatives in partnership with Work AI Institute founding members and external collaborators Translate complex data into clear, compelling insights that resonate with executive audiences Develop insight decks, research briefs, and narratives that synthesize findings across telemetry, surveys, and experiments and position Glean as a leading authority in understanding how AI is transforming work. Build data-driven QBR materials and executive-ready research outputs to support strategic customer and partner conversations Partner with Data Science, Product, and Engineering to surface research-backed implications for roadmap and design decisions Collaborate with Sales, Customer Success, and Marketing to ensure research insights are leveraged effectively in the field Support the Work AI Institute's thought leadership agenda, including reports, talks, and external publications Ensure methodological rigor, responsible data use, and clear documentation across all research efforts Establish repeatable research workflows for ongoing telemetry analysis, surveys, and experiments Stay current on industry research related to AI, work, organizational behavior, and productivity About you: Strong experience analyzing large, aggregated datasets (telemetry, behavioral, or product usage data) Proven ability to design, analyze, and interpret survey research Experience synthesizing quantitative and qualitative findings into executive-level insights Ability to build polished, data-driven decks and narratives for senior leaders and external audiences Comfort working cross-functionally with product, engineering, and go-to-market teams Excellent written and verbal communication skills Background in organizational psychology, behavioral science, HCI, economics, or a related field Experience conducting experiments or quasi-experimental research in applied settings Familiarity with AI systems, LLMs, or AI-enabled workflows in enterprise contexts Experience contributing to external research reports, white papers, or thought leadership Comfort working with SQL, Python, R, or similar tools for analysis and visualization Location: This role is remote (must be located in the US) Compensation & Benefits: The hourly rate for this position is $120.00 - $130.00 per hour. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-REMOTE

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Cambridge, Massachusetts. Remote work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in remote work are encouraged to apply. Purpose and Scope: The Research Strategy Lead, Oncology Research Intelligence reports to the Head of Competitive Intelligence (CI) & Research Program Management (RPM). This role is a strategic role within the CI & RPM in Oncology Research, responsible for developing actionable strategies in key therapeutic areas such as immuno-oncology (IO) or tumor-targeted therapies in Oncology. This role integrates deep scientific expertise with strategic thinking to shape a future-ready oncology research pipeline. Through rigorous internal and external landscape analysis, the Research Strategy Lead informs research direction, portfolio differentiation, and early innovation targeting. The Research Strategy Lead collaborates closely with the Strategy Integration Lead, Oncology Research Leadership, and other cross-functional stakeholders to ensure research and portfolio alignment, enhancing the impact, agility, and future-readiness of the oncology pipeline. Essential Job Responsibilities: Strategic Planning & Portfolio Guidance: Lead the development of therapeutic area-specific research strategies grounded in both internal capabilities and external innovation signals in alignment with Astellas' long-term relevant Primary Focus (PF) area goals. Deliver actionable insights and foresight to the Head of CI & RPM, Oncology Research leadership and PF Leadership Team to guide prioritization, differentiation, and long-term planning based on deep insights into competitive dynamics, scientific trends, and unmet needs. Translate macro-level strategy into clear scientific focus areas, roadmaps, and research hypotheses for research teams. Act as a strategic thought partner to the Head of CI & RPM, integrating intelligence into portfolio prioritization, resource planning, and innovation decisions. Lead horizon scanning efforts to identify emerging opportunities and risks to maintain a future-ready research organization. Competitive Intelligence & Strategic Foresight: Oversee continuous monitoring of the oncology landscape, including pipelines, scientific breakthroughs, partnerships, and regulatory changes. Ensure synthesis of data into insights that clearly highlight risks and opportunities for Astellas' oncology research pipeline. Support early evaluations of external opportunities to External Innovation Partners, Modality Intelligence Leads and Innovation Intelligence Analysts by providing strategic context and scientific framing. Collaborate with Strategy Integration Lead to support the development of strategic playbooks and investment theses that inform internal program direction and external innovation targeting. Operational Excellence & Intelligence Infrastructure: Establish and continuously enhance best practices for strategic intelligence gathering, synthesis, and insight dissemination to support data-driven decision-making. Promote the effective use of digital platforms, analytics tools, and dashboards to accelerate insight generation and improve strategic responsiveness.

Job SummaryAs AI capabilities rapidly advance, we face a fundamental knowledge gap: we don't yet fully understand the complex dynamics that determine whether AI systems, or even individual capabilities of them, predominantly threaten or protect society. In this role, you'll lead research to decode these offense-defense dynamics, examining how specific attributes of AI technologies influence their propensity to either enhance societal safety or amplify risks. You'll apply interdisciplinary methods to develop quantitative and qualitative frameworks that analyze how AI capabilities proliferate through society as either protective or harmful applications, producing actionable insights for developers, evaluators, standards bodies, and policymakers to anticipate and mitigate risks. This position offers a unique opportunity to shape how society evaluates and governs increasingly powerful AI systems, with direct impact on global efforts to maximize AI's benefits while minimizing risks. This role is 100% remote but requires occasional travel. About CARMAThe Center for AI Risk Management & Alignment (CARMA) works to help society navigate the complex and potentially catastrophic risks arising from increasingly powerful AI systems. Our mission is specifically to lower the risks to humanity and the biosphere from transformative AI.We focus on grounding AI risk management in rigorous analysis, developing policy frameworks that squarely address AGI, advancing technical safety approaches, and fostering global perspectives on durable safety. Through these complementary approaches, CARMA aims to provide critical support to society for managing the outsized risks from advanced AI before they materialize.CARMA is a fiscally-sponsored project of Social & Environmental Entrepreneurs, Inc., a 501(c)(3) nonprofit public benefit corporation. Responsibilities• Develop quantitative system dynamics models capturing the interrelationships between technological, social, and institutional factors that influence AI risk landscapes• Design detailed analytical models and simulations to identify critical leverage points where policy interventions could shift offense-defense balances toward safer outcomes• Expand and operationalize our current offense/defense dynamics taxonomy and nascent framework, developing metrics and models to predict whether specific AI system features favor offensive or defensive applications• Build empirically-informed analytical frameworks using documented cases of AI misuse and beneficial deployed uses to validate theoretical models• Research how specific technical characteristics (capabilities breadth/depth, accessibility, adaptability, etc.) interact with sociotechnical contexts to determine offense-defense balances• Build public understanding of offense-defense dynamics through blog posts, articles, conference talks, and media engagement• Create tools and methodologies to assess new AI models upon release for their likely offense-defense implications• Draft evidence-based guidance for AI governance that accounts for complex interdependencies between technological capabilities and deployment contexts• Translate research findings into actionable guidance for key stakeholders including policymakers, AI developers, security professionals, and standards organizations Requirements• A M.Sc. or higher in either Computer Science, Cybersecurity, Criminology, Security Studies, AI Policy, Risk Management, or a related field• Demonstrated experience with complex systems modeling, risk assessment methodologies, or security analysis• Strong understanding of dual-use technologies and the factors that influence whether capabilities favor offensive or defensive applications• Deep understanding of modern AI systems, including large language models, multimodal models, and autonomous agents, with ability to analyze their technical architectures and capability profiles• Experience in any of the following: Security mindset, Security studies research, Cybersecurity, Safety engineering, AI governance, Operational risk management, Systems dynamics modeling, Network theory, Complexity science, Adversarial analysis, or Technical standards development• Ability to develop both qualitative frameworks and quantitative models that capture sociotechnical interactions, and comfort creating semi-quantitative semi-empirical models also grounded in logic • Record of relevant publications or research contributions related to technology risk, governance, or security• Exceptional analytical thinking with ability to identify non-obvious path dependencies and feedback loops in complex systems Pluses• PhD in a relevant field• Experience with system dynamics modeling, hypergraph techniques, or other complex network analysis methods• Skills in developing interactive tools or dashboards for risk visualization and communication• Background in interdisciplinary research bridging technical and social science domains• Demonstrated aptitude in top-down techniques and first-principles thinking• Experience with the quantification of qualitative risk factors or developing proxy metrics for complex phenomena• Background in compiling and analyzing incident databases or case studies for pattern recognition• Familiarity with empirical approaches to technology assessment and impact prediction• Knowledge of international relations theory as it applies to technology proliferation dynamics CARMA/SEE is proud to be an Equal Opportunity Employer. We will not discriminate on the basis of race, ethnicity, sex, age, religion, gender reassignment, partnership status, maternity, or sexual orientation. We are, by policy and action, an inclusive organization and actively promote equal opportunities for all humans with the right mix of talent, knowledge, skills, attitude, and potential, so hiring is only based on individual merit for the job. Our organization operates through a fiscal sponsor whose infrastructure only supports persons authorized to work in the U.S. as employees. Candidates outside the U.S. would be engaged as independent contractors with project-focused responsibilities. Note that we are unable to sponsor visas at this time.

We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role *Open to hiring remote across North America and Europe - we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We're looking for a Research Team Lead to lead a group of Runway's Applied ML Research team. This person will be leading and driving the executions for new applied research projects. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research. This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and work on projects that deliver clear user value. What you'll need 4+ years of industry experience as a research scientist in multimodal, generative audio and proven experience leading projects High emotional intelligence and experience mentoring other researchers Good understanding of how to communicate goals, drive the execution of projects, and inspire through others Experience in translating product and business objectives into technical strategies Deep interest in productionizing state of the art ML research Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We'd love to hear from you. We're committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Research Our AI Film Festival Runway Studios Our Behaviors and Company Mission Towards a new media ecosystem with world simulators; $300m Series D funding We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: **************** Reinforcement Learning Research Intern for Game AI Sony AI invites passionate and innovative Ph.D. students to join us as Research Scientist Interns specializing in deep reinforcement learning (deep RL). We are dedicated to expanding the application of AI to enhance human creativity. This internship offers an exciting opportunity to contribute to cutting-edge research in the Game AI field. Responsibilities Conduct research using deep RL techniques within game AI contexts. Explore novel algorithms and methodologies to address AI challenges in modern PlayStation games. Develop code to support research endeavors, primarily using Python. Prepare reports and deliver presentations for diverse audiences within the organization. Collaborate closely with a multidisciplinary team of AI researchers and developers on ambitious demonstration projects. Qualifications Currently pursuing a Ph.D. with a focus on reinforcement learning or possessing equivalent practical experience. Proficiency in designing and troubleshooting neural networks. Enthusiasm for integrating AI solutions into gaming applications. Strong communication skills, both written and verbal, with the ability to convey complex ideas to technical and non-technical stakeholders. Working Location & Duration Fully remote positions in North America. Flexible duration ranging from 3 to 6 months in 2026. Why Join Us At Sony AI, we value diversity and welcome individuals from all backgrounds to contribute to our collaborative and inclusive work environment. We encourage applicants with a passion for AI and gaming to apply and bring their unique perspectives to our team. The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime. #LI-AS1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

Role Description As a Research & Insights Intern at Dropbox, you'll help teams better understand how users interact with AI-powered workflows. Embedded within the Research (UXR) organization, you'll contribute to research that informs product direction, user experience, and engagement for AI features. You'll either own a scoped qualitative research project or support ongoing research initiatives, depending on business needs, with guidance from experienced researchers. Your work may focus on a specific user workflow and will contribute to clear insights and actionable recommendations for product partners. This is a full-time, 12-week summer internship (40 hours/week). You'll work closely with the research team, receive one-on-one mentorship and regular feedback, and have opportunities to present your work and insights to cross-functional stakeholders. In our Virtual First work culture, you'll connect with with Dropboxers virtually and in-person to build the foundation of a strong professional network. As a Summer intern, you will also have the opportunity to attend our Emerging Talent Summit, where participants from our intern and early-career programs come together in person to build lasting relationships, explore learning and development opportunities, and prepare for their career journey ahead. For Summer 2026, we offer two start dates culminating in a 12-week internship: May 26 - August 14, 2026 June 30 - Sep 18, 2026 Responsibilities Partner with researchers and product teams to identify and refine research questions related to AI-powered user workflows. Own a scoped qualitative research project or support an ongoing one, depending on business needs, with mentorship and guidance throughout the research process. Review existing research, competitive insights, and product materials to form hypotheses and areas for exploration. Assist with the planning, execution, and synthesis of user research using qualitative methods and selected quantitative approaches (e.g., surveys). Develop clear insights and product recommendations based on research findings. Contribute to research readouts, decks, and presentations, and help communicate findings to product and research stakeholders. Requirements Currently pursuing an undergraduate or graduate degree in a relevant field (e.g., Psychology, Human-Computer Interaction, Anthropology, Sociology, Design, Information Science, or related), or equivalent practical experience working with Product, Design, or Research teams graduating in 2027 or 2028. Strong written and verbal communication skills, with comfort explaining ideas, insights, and opinions clearly. Demonstrated ability to collaborate effectively with cross-functional partners. Product curiosity and user empathy, with the ability to articulate why certain experiences work well (or don't). Interest in user research and insights, and motivation to grow in a Research-focused career path. Preferred Qualifications Experience conducting qualitative and/or quantitative research through coursework, internships, or personal projects. Background or coursework in Psychology, HCI, UX Research, or a related field. Comfort working in presentation decks and written documents to communicate ideas and findings. Curiosity about AI-powered tools and experimentation, including hands-on use of tools such as ChatGPT, Copilot, Claude, or similar. Ability to share one work sample that demonstrates research thinking or approach (e.g., class project, report, or personal study). CompensationUS Pay Range$7,000-$8,000 USD

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative UX Quantitative Research interns to bring statistical rigor to product decisions. Partnering with mentors across product, design, data, and engineering, you'll craft surveys, model attitudes alongside usage data, and translate complex findings into compelling narratives for our teams. Expect real projects, supportive teammates, and opportunities to shape Pinterest experiences that are impactful, inclusive, and meaningful for our Pinners. What you'll do: Influence and evolve our product roadmap to help us fulfill our mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Use surveys to gather insights about Pinner, Merchant, Creator, or Advertiser sentiments and preferences using survey methodologies and statistical/modeling based approaches. Explore the intersection of user attitudes and behaviors by combining surveys and log analysis Work cross-functionally to build and communicate key insights. Collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a PhD in statistics, psychology, sociology, applied sciences, computer science or related field Obtain PhD in statistics, psychology, sociology, applied sciences, computer science or related field by June 2027 Currently pursuing a PhD in statistics, psychology, sociology, applied sciences, computer science or related field. Experience with survey methodology, including experience developing surveys and analyzing survey data Demonstrated experience in descriptive, inferential, and multivariate statistics, and experimental design. Experience using Python, R, or SQL. Excellent communication skills and the ability to tell a complete narrative using data. Ability to connect data analysis to real business problems, in order to impact business performance. We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 Relocation Statement: This position is remote and not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $11,000 monthly. #LI-REMOTE #LI-FILS Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Job DescriptionMEDICAL RESEARCH CONSULTANT REMOTE ARC Group has an immediate opportunity for a Medical Research Consultant! This is a direct hire FTE position, 100% remote. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential and an outstanding benefits package. At ARC Group, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization, we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply. 100% REMOTE! Candidates must have permanent work authorization and work for any employer without sponsorship now or in the future. Third party candidates are not eligible for this role. SUMMARY STATEMENT Under limited direction, this position is responsible for providing central research coordination for the Medical Affairs department, which is the primary clinical decision-support and medical policy-making organization within the enterprise, which operates as Medicare Administrative Contractor. Accountabilities include identification, receipt, tracking, review, analysis, and recommendation regarding evidence for topics under consideration for development or revision of a Local Coverage Determination (LCD) or other action by the Medical Policy team. Medical Research Consultants are responsible for conducting comprehensive literature searches and reviews to support evidence-based decision making within the organization. They play a crucial role in synthesizing research findings from diverse sources to provide clear and actionable insights. ESSENTIAL DUTIES & RESPONSIBILITIES To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This list of essential job functions is not exhaustive and may be supplemented as necessary. Research: Literature analysis, health technology assessment * Conduct Comprehensive Literature Searches -- 20% o Identify relevant research articles utilizing various databases such as PubMed, Cochrane, and Embase o Screen titles, abstracts, and full-text articles for inclusion based on predefined criteria o Lead the development and revision of PICOT (patient, intervention, comparison, outcome, and time) questions for each LCD project. * Data Assessment -- 35% o Extract relevant data from included studies, ensuring accuracy and consistency o Review statistical data, assess the quality and risk of bias in individual studies using standardized tools o Perform meta-analyses or qualitative synthesis, as appropriate, to combine study findings o Compile unbiased findings in clear, concise, and actionable reports, complete with tables, figures, and appendices. o Creation of synthesis workbook for each LCD project. o Creation of Evidence Review Table for each Contractor Advisory Committee topic. * Communication and Collaboration -- 20% o Collaborate with interdisciplinary teams, actively presents findings and recommendations for consideration and discussion o Routinely interacts with various levels of staff within the company, including the Contractor Medical Directors (CMDs), management, and routine communications with the Medical Policy team o Based on evidentiary reviews, propose policy decisions and coverage determinations for products and treatments to the policy development team to be implemented via LCDs. o Serve as liaison during national workgroup meetings, representing the company and sharing information to ensure that research methodologies and coverage determinations are consistent o Serve as point of contact and SME for internal operations including the CMDs and senior leadership regarding research methodologies and related tasks. * Policy Writing -- 20% o Development of summary and analysis of evidence for inclusion in LCDs to support coverage/noncoverage determinations. o Active collaborator in the policy writing and determination process, assisting with coverage/non-coverage determination verbiage, review of proposed and final LCDs, and revision recommendations. o Actively collaborates with the policy nurse to address the evidence portion of the LCD Analyses. * Operationalization and Training -- 5% o Continually update knowledge of systematic review methods, guidelines, and best practices o Provide training and mentorship to junior staff or team members on systematic review methodologies o Contribute to standardizing deliverables (e.g., templates) and health technology assessment process Performs other duties as the supervisor may, from time to time, deem necessary. REQUIRED QUALIFICATIONS *Master's in Public Health, Epidemiology, Health Sciences, Data Science, or a related field *Demonstrated proficiency in MS Office applications *Demonstrated proficiency in systematic review software tools (e.g., RevMan, DistillerSR, Covidence) *Demonstrated experience conducting systematic reviews and meta-analyses *Demonstrated experience and confidence leading a large group meeting *Demonstrated project management experience *Detail-oriented with a commitment to producing high-quality work *Demonstrated excellent written and verbal communication *Demonstrated excellent organization and tracking skills *Demonstrated excellent collaboration ability *Demonstrated strong analytical and critical thinking *Demonstrated ability to work both independently and collaboratively in a team environment *Ability to work effectively in a collaborative environment with the Medical Policy team including active participation in meetings, presentation of findings, and respond effectively to questions PREFERRED QUALIFICATIONS *Ph.D. in Public Health, Epidemiology, Health Sciences, Data Science, or a related field *Two years of related experience *Knowledge of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines *Experience with GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) methodology *Familiarity with statistical software (e.g., Stata, R) ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed. At ARC Group, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. No fee to candidate.

**University of Colorado Anschutz Medical Campus** **Department: Linda Crnic Institution for Down Syndrome** **Job Title: Research Associate** #:** **- Requisition #:37925** 1. The Human Trisome Project (***************** a large cohort study designed to understand why individuals with Down syndrome have a different clinical risk profile compared to the typical population. 2. Studying the role of immune dysregulation and hyperactive interferon signaling in Down syndrome. 3. Understanding molecular and genomic features of co-occurring conditions in individuals with Down syndrome. + Working collaboratively with other members of the team to provide high-level, professional, and scientifically rigorous data management and bioinformatic analyses. + Developing and implementing complex analysis pipelines, programming, and data visualization techniques for multi-layered -omics datasets with a particular focus on single cell RNAseq and CyTOF analysis of peripheral and tissue-resident innate and lymphoid immune cell populations. Application of these techniques for more broad analysis of the transcriptome, metabolome, proteome, and epigenome will also be expected. + Creatively and effectively integrating data from multiple sources to accelerate discoveries. + Thinking independently and creatively to identify and implement best-practice bioinformatic and data management solutions. + Creating and disseminating tools for all team members to access relevant clinical and sample data. + Collaborating with other team members to co-author abstracts, oral and poster presentations, and scientific manuscripts. **Work Location:** Remote **Why Join Us:** **Why work for the University?** + Medical: Multiple plan options + Dental: Multiple plan options + Additional Insurance: Disability, Life, Vision + Retirement 401(a) Plan: Employer contributes 10% of your gross pay + Paid Time Off: Accruals over the year + Vacation Days: 22/year (maximum accrual 352 hours) + Sick Days: 15/year (unlimited maximum accrual) + Holiday Days: 10/year + Tuition Benefit: Employees have access to this benefit on all CU campuses + ECO Pass: Reduced rate RTD Bus and light rail service **Equal Employment Opportunity Statement:** **Qualifications:** **Minimum Qualifications:** + Education: Ph.D. in Immunology, Bioinformatics, Molecular Biology, Computational Biology, or a related field such as Biostatistics. + Experience: Three or more years of experience applying bioinformatic tools to next-generation sequencing data (e.g. RNA sequencing, ChIP-seq, microbiome) and/or related omics-level data. + Special Skills: Strong programming skills in common languages/packages used for bioinformatic and statistical analysis and (e.g. R/Bioconductor/Tidyverse, Python, Perl). + Special Skills: Strong knowledge of statistical principles relevant to biomedical research. **Preferred Qualifications** **The following preferred qualifications will be highly valued in potential candidates:** + Experience working with complex high-dimensional data sets in the field of immunology, including sc RNA-seq, CITE-seq, CyTOF, spacial transcriptomics, and spectral flow cytometry of immune cells subsets. + Extensive knowledge of various immune cell subsets including myeloid cells, innate lymphoid cells, T cell subsets, and tissue-resident lymphoid cells. + Special Skills: Strong knowledge of statistical principles relevant to biomedical research. **Knowledge, Skills, and Abilities** **To be successful in this position, candidates will need the following:** + Competency with UNIX-based command line tools and shell scripting. + Experience running and troubleshooting jobs in high performance and/or cloud computing environments. + Ability to analyze and solve complex problems and apply quantitative analytical approaches. + Familiarity with principles of reproducible data analysis and good coding practice. + Proven self-initiative and ability to catalyze new projects or ideas. + Exceptional organizational and time management skills, ability to manage multiple projects and analysis requests. + Excellent written and verbal communication skills, as evidenced by publications and/or presentations. + Experience analyzing and mining clinical data, cancer genomics, and related data sets. + Advanced statistical knowledge as applied to bioinformatics / genomics. **How to Apply:** **Screening of Applications Begins:** **Anticipated Pay Range:** **HIRING RANGE:** **ADA Statement:** **Background Check Statement:** **Vaccination Statement:** **Job Category** **Primary Location** **Schedule** **Posting Date** **Unposting Date** **To apply, visit ******************************************************************** (****************************** Copyright 2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency (***************************** Research Associate - 37925 Research Faculty The Linda Crnic Institute for Down Syndrome has an opening for a Bioinformatics Analyst / Data Scientist at the Research Associate level to work at the University of Colorado Anschutz Medical Campus in Aurora.The successful applicant will be an integral member of a collaborative team researching various aspects of Down syndrome using multiple omics-based approaches. Current areas of focus include:This position is responsible for performing rigorous analysis and integration of multiple -omics datasets in collaboration with other scientists on the team. The successful candidate will have extensive computational and analytical skills and a demonstrated ability perform the tasks outlined below.The duties and responsibilities of the position include, but are not limited to: - this role is eligible to work remotely, but the employee must be in the United States. The Linda Crnic Institute for Down Syndrome is the largest academic home for Down syndrome research. The Crnic Institute collaborates with prominent scientists and leaders around the globe to enable precision medicine approaches to improve health outcomes in Down syndrome. Learn more at: ****************************************************** (******************************************************* URL=******************************************************) .We have AMAZING benefits and offerexceptional amounts of holiday, vacation and sick leave! The University of Colorado offers an excellent benefits package including:There are many additional perks & programs with the CU Advantage (******************************************************* URL=************************** . The University of Colorado (CU) is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. Applicants must meet minimum qualifications at the time of hire. For full consideration, please submit the following document(s):1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position2. Curriculum vitae / Resume3. Five professional references including name, address, phone number (mobile number if appropriate), and email address Applications are accepted electronically ONLY at ********************* (******************************************************* URL=http://*********************) .Questions should be directed to: Anne Fiala, ************************* (******************************************************* URL=*************************) Immediately and continues until position is filled. For best consideration, apply by October 20, 2025 The starting salary range (or hiring range) for this position has been established as $62,000-$90,000The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation unless it is non-exempt.Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.Total Compensation Calculator: ***************************** (******************************************************* URL=*****************************) The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at ****************************** (******************************************************* URL=******************************) . The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases (******************************************************* URL=*********************************************************************************** . If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program (******************************************************* URL=************************************************************************************* . Application Materials Required: Cover Letter, Resume/CV, List of References : Faculty : Aurora Department: U0001 -- Anschutz Med Campus or Denver - 21393 - SOM-Linda Crnic Inst Gen Ops : Full-time : Oct 15, 2025 : Ongoing Posting Contact Name: Anne Fiala Posting Contact Email: ************************* (******************************************************* URL=*************************) Position Number: 00840858jeid-c6324aab73a9d74a9a63cee519603b78 The University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

A Postdoctoral Fellow/Research Associate position is available in the fields of operations research and supply chain management. The position is funded by Dr. Mahmoudi's recently awarded NSF fund. The postdoctoral fellow will design and implement an optimization-based decision-support model to size and operate the reusable-container pool for a Whirlpool refurbishment center, enabling a smooth transition from single-use to reusable packaging. The successful candidate will primarily work with Dr. Monireh Mahmoudi from the School of Packaging, College of Agriculture and Natural Resources, at Michigan State University, and Dr. Leandro Coelho from the Operations and Decision Systems Department at Université Laval, Canada. This position is contingent upon completion of your Ph.D. degree and receipt of appropriate employment authorization from the U.S. Citizenship & Immigration Services, U.S. Department of Homeland Security. The appointee will be responsible for 1) conducting research and taking leadership in writing research papers and grant proposals; and 2) developing collaboration with other research teams and industry partners. Equal Employment Opportunity Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status. Required Degree Doctorate -Operations Research, Industrial Engineering, Supply Chain/Operations Management, Applied Mathematics Minimum Requirements Requirements: Ph.D. in Operations Research, Industrial Engineering, Supply Chain/Operations Management, Applied Mathematics, or a related field (completed or very near completion by the start date). Advanced knowledge of mathematical optimization (e.g., linear and mixed-integer programming, network/flow models, inventory/lot-sizing, and, ideally, stochastic or robust optimization). Hands-on experience formulating and solving models with Gurobi and/or IBM ILOG CPLEX. Strong coding and data skills in Python and R for analysis and model pipelines. Clear, professional communication-strong academic writing and presentation skills; ability to prepare manuscripts and stakeholder-facing reports. Required Application Materials As part of the application process, please submit your application on line or send the following application materials to Dr. Monireh Mahmoudi (mahmou18@msu.edu). Current/Up-to-date full curriculum vitae Sample research papers (published, accepted, and/or working) Contact information of two references (please include email addresses and phone numbers). Special Instructions The search committee will review applications on the 15th of each month, starting from October 15, 2025, until the position is filled. Review of Applications Begins On 10/15/2025 Remote Work Statement MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon. Website www.packaging.msu.edu Department Statement School of Packaging (College of Agriculture and Natural Resources) at Michigan State University: The School of Packaging (SoP) holds the prestigious reputation of being the first, the largest, and the most comprehensive packaging school in higher education. The school educates students to thrive in careers such as packaging engineering, design, manufacturing, research and development, and sales. Our graduates can be found across most industries and global Fortune 500 companies, and our Ph.D. graduates teach at universities around the world. Students graduate with foundational knowledge across all aspects of packaging, positioning them to work in multiple capacities for top global companies. MSU SoP graduates have developed a strong alumni network, are leaders at all organizational levels, and are thought leaders shaping today's sustainable packaging solutions. Operations and Decision Systems Department at Université Laval, Canada: FSA ULaval is located in Québec City, a UNESCO-designated World Heritage Site. As part of a select group of business schools that hold the prestigious AACSB International and EQUIS accreditations while also being a signatory member of the PRME initiative of the United Nations Global Compact, FSA ULaval is proud of its high-quality education and research, as well as its international reputation for technology-enhanced pedagogical innovation. FSA ULaval ranks among the most dynamic and innovative faculties and business schools in Canada, with 26 research chairs, groups, laboratories and centres MSU Statement Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.

Job Description:About the Role: As Senior Research Analyst - Carbon Markets, you will cover Carbon and Low-Carbon/Clean Fuels Compliance Markets (specifically, carbon allowances, and offsets, credit markets for clean fuels and renewable fuels) and wider-carbon market research & analysis. You will report to the Energy Research team, support the Principal Analyst, and have a dotted-line report into the Head of Carbon Markets Intelligence Director of Carbon Analytics. About the Team: OPIS, a Dow Jones company, provides price transparency across the global fuel supply chain, including the Spot, Wholesale Rack and Retail markets. OPIS enables customers to buy and sell energy commodities with confidence with multi-platform access to accurate data, real-time news, powerful software and educational events. Our commitment to reliability is reinforced by personalized customer service and constant innovation. OPIS listens to what the energy community needs and responds with flexible and easy-to-use products. Navigating world fuel markets is complex - OPIS makes it simpler. You Will: Collect and organize carbon and emissions-related statistics inclusive of Energy, Power, and Gas data sets Develop models, datasets, and analytics for activities covering the carbon compliance markets and maintain those metrics Maintain supply/demand outlooks for credit markets and biofuels Develop and maintain forecasts and outlooks of models, datasets and analytics for biofuels (e.g., SAF, Renewable Diesel) Support the design and preparation of content delivery tools Work with the carbon policy team to understand current events and policy changes that may affect the price and outlooks around carbon Be the primary contact for the systems development team for the upcoming services as it pertains to analytical tools and processes Partner across OPIS business lines to set the vision and product scope for Carbon Analytics You Have: At least 5 years' relevant experience Biofuels/Renewable Fuels/Gas/Power sector knowledge Renewable Fuels and Low-Carbon Fuels Credit Markets knowledge Knowledge of the energy value chain and the associated market dynamics Used Python, SAS, SPSS, R, SQL, Power BI, Tableau, Excel, and PowerPoint Experience using databases, process documentation applications, business intelligence applications, and data visualization applications for data analysis and data modeling Experience clearly communicating complex content to technical and non-technical audiences Experience in refinery modeling to assess environmental impact, investments in emissions reductions, and mitigation technologies (preferred) Bachelor's degree in Economics, Engineering (preferred), Chemistry (preferred), Business, Finance/Accounting, Information Systems Management, Data Science, relevant discipline -OR- equivalent work experience Our Benefits Comprehensive Healthcare Plans Paid Time Off Retirement Plans Comprehensive Insurance Plans Lifestyle programs & Wellness Resources Education Benefits Family Care Benefits & Caregiving Support Commuter Transit Program Subscription Discounts Employee Referral Program Learn more about all our US benefits #LI-HybridReasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. Dow Jones is committed to providing reasonable accommodation for qualified individuals with disabilities, in our job application and/or interview process. If you need assistance or accommodation in completing your application, due to a disability, email us at *******************************. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Business Area: Dow Jones - OPIS - CMA Job Category: Data Analytics/Warehousing & Business Intelligence Union Status: Non-Union role Pay Range: $85,000 - $105,000We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice.For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce..

in disease ecology at Purdue University Description Applications are invited for a full-time postdoctoral position in the laboratory of Dr. Catherine Searle, Department of Biological Sciences, Purdue University: ************************************** This is a 12-month appointment that begins as soon as possible. In person is preferred, but remote work can be accommodated. Projects will involve quantifying host competence and characterizing biodiversity-disease relationships with a focus on how these variables change seasonally. This work primarily involves amphibians infected with the fungal pathogen, Batrachochytrium dendrobatidis, but work on a Daphnia-fungus system or other systems is possible. Project specifics will depend on the candidate's expertise and interest. Compensation $50,000-$60,000, commensurate with experience Application Please apply by emailing the following to Dr. Catherine Searle (******************) with "Postdoctoral position application" in the subject: 1) A resume or CV 2) A document or email that describes a. A brief (~1 paragraph) description of previous research experience b. Explanation of why you are interested in this position c. Details on when you could start and whether you would like to be in person or remote d. A list of 2-3 references (will only be contacted after initial screening) Education Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Experience Qualifications Required: * Completion of a Ph.D. or equivalent by the time of appointment in biology, ecology, or another relevant field Preferred: * Expertise in disease ecology, aquatic host-pathogen systems, analyses of infectious disease data, community ecology * Strong quantitative and writing skills * Ability to work independently and collaboratively * Enthusiasm and interest in disease ecology * Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote work) FLSA Status Exempt Apply now Posting Start Date: 12/12/25

We're looking for a ‘Lead Researcher' who can help us ensure we are delivering a world class sales service for our clients About Us Cold Email Studio (****************************** is a service that sends outbound email campaigns for the top Silicon Valley startups. Our clients are worldclass startup founders backed by y-combinator, 500 startups, techstars, etc. Our outbound process starts with highly-accurate research on target audiences. It then continues through email outreach campaigns in order to set qualified customer appointments for our clients. Our customers benefit from targeted leads, a predictable sales pipeline and increased revenues. In order to meet the growing demand from new and existing clients, we are expanding our talented research team and are looking for great candidates. We're a small team and we'll give you all the support you need to succeed. About the Role Our Lead Researchers are responsible for building highly targeted prospect lists for our outbound email campaigns. Key Responsibilities research contact information for sales leads work with various online tools and databases to enrich leads validate all emails to ensure deliverability record all lead details in master database About you We're open to hearing from people with varying levels of experience. But, here are some essential requirements for the role: Must Haves: Experience working in a similar role Experience researching prospects across industries and job functions Strong attention to detail Results oriented Reliable Able to work to deadlines and quotas Ability to perform repetitive research tasks Work well in a team Eagerness to learn new skills Experience with spreadsheets Intermediate written and spoken English Experience working with lead generation tools such as linkedin sales navigator and prospect databases such as Zoominfo, Apollo.io, Uplead, etc. Bonus experience: Experience working with Zoominfo Experience working with startups is a plus Experience working remotely Experience working in sales development Salary and Benefits Your salary will be in the range of $1000 to 1,500 per month depending on experience. Discretionary quarterly bonus We are in the process of building out a benefits package, but it is likely to include: healthcare, fitness classes, team trips, learning & development budget, english classes and more. Why this opportunity is great! Work in a small team with the opportunity to learn new skills every day Work with leading venture backed startups Work with serial entrepreneurs with a track record in growing businesses Learn about building and running a business Gain incredible sales experience Work remotely with flexible hours Opportunity to shape your own benefits package